aflatoune / huawei

Ramp challenge Huawei

Optical Access Network Challenge

Preparing data

The raw data is located in the subfolder /data. It consists in a set of a few thousand time series that spear around 20 days of time.

data/
    city_A/
        source.npy
        source_labels.npy
    city_B/
        target.npy
        target_labels.npy
        test.npy
        test_labels.npy

However, the challenge consists in predicting failure using only a single week of data. Hence, we preprocess the original data with the following code

~/hackathon/data $ python prepare_data.py

This program will consider the original data and will output a pickle file that will generate sub time-series of a 1 week length. The output will be located as follow

    city_A/
        ramp_train.pickle
    city_B/
        ramp_target.pickle
        ramp_test.pickle

These file are the one that will be read by problem.py.

Be careful: we leave you the original data so you can explore it. But the private dataset has been generated using the original prepare_data.py program. So mess with it, we do not forget how the private dataset is processed :)